Description

You will lead the end-to-end development, training, and deployment of machine learning models to drive business insights.

Responsibilities

• Design and implement data science workflows, covering data collection, preprocessing, and model deployment.
• Build advanced models for audience segmentation, predictive analytics, market sentiment analysis, and personalized content creation.
• Collaborate with engineers to optimize machine learning outputs and integrate them into user-facing applications.
• Manage the machine learning lifecycle using Databricks and Kubernetes to ensure scalable model training.
• Maintain secure and compliant data handling using Azure Key Vault and established governance policies.

Required Skills

• 5+ years of experience in a Senior Data Scientist role or similar high-impact AI projects.
• Expertise in building and optimizing machine learning models.
• Hands-on experience with Databricks and Kubernetes.
• Proficiency with LLMs, such as Llama 3.1.
• Experience with Azure Pipelines and web scraping tools like Selenium or Playwright.
• Knowledge of data storage solutions including Postgres and Neo4J.
• Solid understanding of Azure cloud environments and security practices.
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.

Key Skills

Education

Any Graduate